autolens.AnalysisPoint#

class AnalysisPoint[source]#

Bases: Analysis, AnalysisLensing

The analysis performed for model-fitting a point-source dataset, for example fitting the point-sources of a multiply imaged lensed quasar or supernovae of many source galaxies of a galaxy cluster.

The analysis brings together the data, model and non-linear search in the classes log_likelihood_function, which is called by every iteration of the non-linear search to compute a likelihood value which samples parameter space.

Parameters

point_dict (PointDict) – A dictionary containing the full point source dictionary that is used for model-fitting.
solver (PointSolver) – The object which is used to determine the image-plane of source-plane positions of a model (via a Tracer).
imaging – The imaging of the point-source dataset, which is not used for model-fitting but can be used for visualization.
cosmology (LensingCosmology) – The cosmology of the ray-tracing calculation.
settings_lens – Settings which control how the model-fit is performed.

Methods

`fit_positions_for`
`log_likelihood_function`	Determine the fit of the strong lens system of lens galaxies and source galaxies to the point source data.
`log_likelihood_positions_overwrite_from`	Call the positions overwrite log likelihood function, which add a penalty term to the likelihood if the positions of the multiple images of the lensed source do not trace close to one another in the source plane.
`make_result`
`modify_after_fit`	Overwrite this method to modify the attributes of the Analysis class before the non-linear search begins.
`modify_before_fit`	Overwrite this method to modify the attributes of the Analysis class before the non-linear search begins.
`modify_model`
`profile_log_likelihood_function`	Overwrite this function for profiling of the log likelihood function to be performed every update of a non-linear search.
`save_attributes_for_aggregator`
`save_results_for_aggregator`
`tracer_via_instance_from`	Create a Tracer from the galaxies contained in a model instance.
`visualize`
`with_model`	Associate an explicit model with this analysis.

log_likelihood_function(instance)[source]#

Determine the fit of the strong lens system of lens galaxies and source galaxies to the point source data.

Parameters: instance – A model instance with attributes
Returns: fit – A fractional value indicating how well this model fit and the model masked_imaging itself
Return type: Fit